Battery Remaining Capacity Estimation With Preprocessed ML Models
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Solution Overview
Problem
Existing methods for estimating the remaining capacity of storage batteries using machine learning often result in high calculation amounts, making real-time estimation challenging.
Innovation Solution
A system that includes a storage processing unit and a calculation unit to utilize a pre-processed model generated through machine learning on training data comprising current, voltage, and temperature measurements, reducing the calculation load by using a simplified data structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If machine learning is used to estimate remaining capacity of storage battery, then estimation accuracy is improved, but calculation amount increases
Solution Approach 1:
The patent applies preliminary action by pre-processing training data into a simplified one-dimensional data structure before model generation. This preprocessing step reduces the dimensionality and complexity of the data, enabling the machine learning model to achieve accurate remaining capacity estimation with reduced computational requirements during actual operation.
2Measurement precision
If machine learning is used to estimate remaining capacity of storage battery, then estimation accuracy is improved, but real-time calculation becomes difficult
Solution Approach 1:
The patent performs preliminary action by pre-processing the training data into a compact one-dimensional format and generating an optimized model in advance. This allows the model to execute rapid remaining capacity estimations during real-time operation without requiring complex calculations, thus achieving both high accuracy and real-time performance.
Data Source
AI summary
A remaining capacity estimation apparatus includes a storage processing unit and a calculation unit. The storage processing unit acquires a model from a model generation apparatus and stores the model in a model storage unit. When data for updating the model are acquired from the model generation apparatus, the storage processing unit updates the model stored in the model storage unit. The calculation unit calculates a remaining capacity of a storage battery managed by the remaining capacity estimation apparatus by using the model stored in the model storage unit. At this time, data (measurement data for calculation) input to the model include a current, a voltage, and a temperature of the storage battery. When the input data when generating the model are only a current, a voltage, and a temperature, the measurement data for calculation are only a current, a voltage, and a temperature.